Localizing the NYT Data Viz on Police Racial Disparity

One of the most important attributes of data driven journalism is that it scales, and the primary goal of my OpenRural, Open N.C. and data dashboard projects has been to democratize data so that we start seeing the same types of reporting and presentation in small community papers that we see in the big national news sites. So when I saw Thursday’s New York Times graphic on the race gap in America’s police departments, I immediately thought that something similar could be done pretty quickly that would look at North Carolina towns.

Click on the image to see the interactive version of an embeddable graphic that can easily — and at no cost — be dropped in to any news site or blog (except this one … because I’m still hosting it on javascript-averse wordpress.com).

Click to view the interactive version on Tableau Public.

The graphic alone doesn’t tell the whole story. Tippett pointed out when I showed her the chart that most of the Latinos in Siler City aren’t even eligible to join the city’s police force — 40% are not adults, and 80% of adult Hispanics there are not citizens.

And many of these police forces are very small, which makes it easy for them to end up with huge percentage disparities in the racial breakdowns of their police and residents. Tiny Biscoe, for example, only has nine police officers. Wagram has two police officers — half of which are white and half of which are “other.”

The other potential problem with the data is that it’s seven years old. But so is the data used by The Times.

This is just an example of how we might continue to democratize data. This graphic could be emailed to an editor of each news outlet in North Carolina, along with a list of suggested questions that local reporters could ask to quickly make the data more relevant.

Suggested Questions to Localize This Data Driven Story

“This data is seven years old. Does it still look accurate to you? Can you provide me with some more recent data of the racial and ethnic breakdown of the police department?”

“Why do you think your department has a higher percentage of white officers than the residents?”

“How does the racial disparity between the police department and local residents effect the way your department works?”

“Walk me through the hiring process for new officers. How does a candidate’s race factor in to hiring decisions, if at all?”

“How do you publicize vacancies in the department? Do you do anything to recruit minority applicants?”

“What percentage of your officers live in the city? How important is it that officers come from within the city? Why?”

Also, seek opinions of others — both insiders such as city council members and community leaders as well as people on the street. Consider using social media such as Facebook or Twitter to ask people what they think about the data and these questions. This is the start of a conversation, not the end. Be sure to get a diversity of perspectives — age, gender, geography and certainly race and ethnicity.

The Challenge: News Deserts

But even if we acquire, clean and produce data along with some simple story guides, data driven journalism may still not find its way into smaller newspapers if nobody is there to receive our help. At many papers, this would still be seen as enterprise reporting. As an editor with a staff you can count on one hand, do you send a reporter out prospecting for answers to these somewhat uncomfortable questions? Or do you have them write up the day’s arrests? Or preview this weekend’s chamber of commerce golf tournament?